This preview shows pages 1–3. Sign up to view the full content.
1/31/2011
1
Lecture 4: January 31, 2011
•
Today:
–
One
‐
sample hypothesis tests using z: Chapter 9, pages 340
‐
355
–
Then, the p
‐
value approach to hypothesis testing, pages 355
‐
358
•
Homework 3 opens at 8:00 p.m. tonight:
–
Page 351: Problems 9.6 and 9.8
–
Page 358: Problem 9.14 and 9.16
–
These are strictly one
‐
sample hypothesis test problems using z.
–
It closes Wednesday, February 2 at 6:00 p.m.
–
Unlimited tries until it closes! Feedback!
•
Non
‐
Connect Practice problems:
–
Page 351: Problems 9.5, 9.7, and 9.9
–
Page 358: Problems 9.11, 9.15, and 9.17
–
Answers are in the back of the book.
–
If you need help with these, see a TA during office hours.
•
Worked
‐
Out Problems–On my web site
–
Page 358: Problems 9.13 and 9.19–Three sheets per problem
•
Hypothesis Steps; Visual (Drawing) of the Steps; p
‐
value approach
Lecture 4: January 31, 2011
A Look Ahead: Readings and Problems for Next Class
•
Student’s t distribution (and confidence intervals):
–
Readings: Chapter 8, pages 310
‐
318
–
Problems to come are on pages 317
‐
318.
•
Two
‐
Sample Hypothesis Tests:
–
Readings: Chapter 10, pages 390
‐
401
–
Put on your seat belt!
–
Problems to come are on pages 400
‐
401.
•
I asked you to download a handout titled
Steps in Hypothesis Testing
.
•
I have revised this handout and renamed it
Revised Steps in Hypothesis Testing
.
•
Bring the revision with you to class on
Wednesday.
•
Pay particular attention to Step 5, which is
very detailed regarding how to state the
conclusion for a hypothesis test.
This preview has intentionally blurred sections. Sign up to view the full version.
View Full Document 1/31/2011
2
Bring To Next Class
•
z
‐
table
•
t
‐
table
•
Both are in the Handouts section of my web
site.
•
PRS: I will ask you to calculate a p
‐
value.
–
You will need to use the z
‐
table for this.
•
PRS: I will ask you how to use the t
‐
table after
I explain it for about a half hour.
Summary Items from last class.
We will carry these forward!
•
The behavior of the sample mean is explained by a
very important theorem:
–
Central Limit Theorem
•
Vocabulary: The probability distribution of a sample
statistic has a special name:
–
sampling distribution
•
This is the end of the preview. Sign up
to
access the rest of the document.
This note was uploaded on 10/13/2011 for the course FINOPMGT 250 taught by Professor Kouzehkanani during the Spring '08 term at UMass (Amherst).
 Spring '08
 KOUZEHKANANI

Click to edit the document details